• Title: Flexible regression and smoothing using GAMLSS in R
• Series:  Chapman & Hall / CRC The R Series
• Hardcover:  571 pages
• Publisher:  Chapman and Hall / CRC; 1 edition (May 8, 2017)
  

(GAMs) to accommodate large complex datasets, which are increasingly prevalent. GAMLSS (GAMs) to accommodate large diversity datasets, which are increasingly prevalent. GAMLSS Allows any nomulation distribution for the response variable and modeling all the parameters (location, scale and shape) of the distribution as linear or smooth functions of explanatory variables. This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It Includes a comprehensive collection of real data examples, integrated code, and figures to instructions the methods, and is supplemented by a website with code, data and additional materials.


[Attach] 2278598 [/ attach]